Quantum Feature Extraction for THz Multi-Layer Imaging
Abstract
A learning-based THz multi-layer imaging has been recently used for contactless three-dimensional (3D) positioning and encoding. We show a proof-of-concept demonstration of an emerging quantum machine learning (QML) framework to deal with depth variation, shadow effect, and double-sided content recognition, through an experimental validation.
- Publication:
-
arXiv e-prints
- Pub Date:
- July 2022
- DOI:
- 10.48550/arXiv.2207.09285
- arXiv:
- arXiv:2207.09285
- Bibcode:
- 2022arXiv220709285K
- Keywords:
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- Quantum Physics;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Signal Processing
- E-Print:
- 2 pages, 5 figures, IRMMW-THz2022